IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v82y2023ics0957178723000589.html
   My bibliography  Save this article

Forecasting renewable energy utilization by Iran's water and wastewater industries

Author

Listed:
  • Khah, Mohammad Vahabi
  • Zahedi, Rahim
  • Mousavi, Mohammad Sadegh
  • Ahmadi, Abolfazl

Abstract

This paper studies forecasting the use of renewable energies in the water and wastewater industry. Different methods have been proposed to show energy recovery techniques and the use of renewable energy in wastewater treatment. The results indicate that increasing the carbon tax to more than 30 USD per ton of CO2 could reduce emissions from all fossil-fuel power plant types by 30%.

Suggested Citation

  • Khah, Mohammad Vahabi & Zahedi, Rahim & Mousavi, Mohammad Sadegh & Ahmadi, Abolfazl, 2023. "Forecasting renewable energy utilization by Iran's water and wastewater industries," Utilities Policy, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000589
    DOI: 10.1016/j.jup.2023.101546
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178723000589
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jup.2023.101546?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mattia Cottes & Matia Mainardis & Daniele Goi & Patrizia Simeoni, 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach," Energies, MDPI, vol. 13(18), pages 1-15, September.
    2. Izanloo, Milad & Aslani, Alireza & Zahedi, Rahim, 2022. "Development of a Machine learning assessment method for renewable energy investment decision making," Applied Energy, Elsevier, vol. 327(C).
    3. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
    4. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    5. Eltawil, Mohamed A. & Zhengming, Zhao & Yuan, Liqiang, 2009. "A review of renewable energy technologies integrated with desalination systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2245-2262, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kabeel, A.E. & Elmaaty, Talal Abou & El-Said, Emad M.S., 2013. "Economic analysis of a small-scale hybrid air HDH–SSF (humidification and dehumidification–water flashing evaporation) desalination plant," Energy, Elsevier, vol. 53(C), pages 306-311.
    2. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Mattia Cottes & Matia Mainardis & Patrizia Simeoni, 2023. "Assessing the Techno-Economic Feasibility of Waste Electric and Electronic Equipment Treatment Plant: A Multi-Decisional Modeling Approach," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    4. Formolli, M. & Kleiven, T. & Lobaccaro, G., 2023. "Assessing solar energy accessibility at high latitudes: A systematic review of urban spatial domains, metrics, and parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    5. Wuliyasu Bai & Liang Yan & Jingbo Liang & Long Zhang, 2022. "Mapping Knowledge Domain on Economic Growth and Water Sustainability: A Scientometric Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4137-4159, September.
    6. McKenna, R. & Bertsch, V. & Mainzer, K. & Fichtner, W., 2018. "Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1092-1110.
    7. Mito, Mohamed T. & Ma, Xianghong & Albuflasa, Hanan & Davies, Philip A., 2019. "Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 669-685.
    8. R. Krishankumar & K. S. Ravichandran & M. Ifjaz Ahmed & Samarjit Kar & Xindong Peng, 2019. "Interval-Valued Probabilistic Hesitant Fuzzy Set Based Muirhead Mean for Multi-Attribute Group Decision-Making," Mathematics, MDPI, vol. 7(4), pages 1-16, April.
    9. Lee, Yoonjae & Ha, Byeongmin & Hwangbo, Soonho, 2022. "Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy," Renewable Energy, Elsevier, vol. 200(C), pages 69-87.
    10. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    11. Mentis, Dimitrios & Karalis, George & Zervos, Arthouros & Howells, Mark & Taliotis, Constantinos & Bazilian, Morgan & Rogner, Holger, 2016. "Desalination using renewable energy sources on the arid islands of South Aegean Sea," Energy, Elsevier, vol. 94(C), pages 262-272.
    12. Prado de Nicolás, Amanda & Molina-García, Ángel & García-Bermejo, Juan Tomás & Vera-García, Francisco, 2023. "Desalination, minimal and zero liquid discharge powered by renewable energy sources: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    13. Yugang He, 2024. "Evaluating Environmental Sustainability: The Role of Agriculture and Renewable Energy in South Korea," Agriculture, MDPI, vol. 14(9), pages 1-18, September.
    14. Seyed Mahmoud Zanjirchi & Mina Rezaeian Abrishami & Negar Jalilian, 2019. "Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1289-1309, June.
    15. Punia Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook," Energy, Elsevier, vol. 100(C), pages 332-348.
    16. Olga Porro & Francesc Pardo-Bosch & Núria Agell & Mónica Sánchez, 2020. "Understanding Location Decisions of Energy Multinational Enterprises within the European Smart Cities’ Context: An Integrated AHP and Extended Fuzzy Linguistic TOPSIS Method," Energies, MDPI, vol. 13(10), pages 1-29, May.
    17. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    18. Osseweijer, Floor J.W. & van den Hurk, Linda B.P. & Teunissen, Erik J.H.M. & van Sark, Wilfried G.J.H.M., 2018. "A comparative review of building integrated photovoltaics ecosystems in selected European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 1027-1040.
    19. Gude, Veera Gnaneswar, 2016. "Geothermal source potential for water desalination – Current status and future perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1038-1065.
    20. Abbas Mardani & Dalia Streimikiene & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Mehrbakhsh Nilashi & Ahmad Jusoh & Habib Zare, 2017. "Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis," Sustainability, MDPI, vol. 9(10), pages 1-65, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000589. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/utilities-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.